Design Automation of a Motor Hoisting Crane – Results of Student Project on Knowledge-Based CAD

2021 ◽  
pp. 927-934
Author(s):  
Paul Christoph Gembarski ◽  
Dörthe Behrens ◽  
Jan Feldkamp ◽  
Lorenz Kies ◽  
Lukas Hoppe
2013 ◽  
Vol 1 (1) ◽  
pp. 158-178
Author(s):  
Urcun John Tanik

Cyberphysical system design automation utilizing knowledge based engineering techniques with globally networked knowledge bases can tremendously improve the design process for emerging systems. Our goal is to develop a comprehensive architectural framework to improve the design process for cyberphysical systems (CPS) and implement a case study with Axiomatic Design Solutions Inc. to develop next generation toolsets utilizing knowledge-based engineering (KBE) systems adapted to multiple domains in the field of CPS design automation. The Cyberphysical System Design Automation Framework (CPSDAF) will be based on advances in CPS design theory based on current research and knowledge collected from global sources automatically via Semantic Web Services. A case study utilizing STEM students is discussed.


Author(s):  
Francesco Furini ◽  
Marco Rossoni ◽  
Giorgio Colombo

The study illustrated in this paper aims at analyzing the knowledge management issue related to product development. Especially, the focus is on the domains in which Knowledge-based Systems (KBE) and Design Automation (DA) tools could be adopted. In the past various studies, a lot of KBE and DA systems have been developed in multiple fields such as automotive, aerospace, energy, materials and manufacturing: the information treated in these studies are about data relatives to specific design, for example, of automotive engine components, aircraft structures, energy plants, advanced material and manufacturing or assembly lines. In all of these domain the organization and formalization of the knowledge is a critical issue. The adoption of a good strategy to manage data and information relative to products and processes involves benefits in the product development process. Different methodologies are described in literature. The two of the most used are the Object-Oriented (OO) and Ontology Engineering (OE) approaches. The former is one of the most common and adopted in the industrial domain, including a lot of implementations in the recent past years. The latter is more commonly used in other fields, like bio-engineering, used with the scope of management of experimental data; few implementation in industrial engineering have been considered. The article considers a brief description of the state of the art about Knowledge Based Engineering and Ontology Engineering. A case studies will be described and the benefits and disadvantages due to the use of the different methodologies will be discussed.


Author(s):  
K. K. Tai ◽  
Yuyi Lin ◽  
L. X. Wang

Abstract Expert systems are best known for qualitative or heuristic reasoning capability. However, the design of high performance and critical mechanical components, such as automotive valve springs, requires that precise and quantitative issues be resolved. This paper discusses the extended use of an expert system shell for mechanical spring design automation. An expert system shell is utilized as a user friendly front end and a binding agent among system components. Building blocks of the complete system include a product information data base which is provided by commercial manufacturers, a dynamic modeling and simulation module which includes typical-applications models, an optimization module which uses simulated annealing algorithms, and a design specification generation module which produces production drawings and a design report. The basic methodology discussed in this paper can be applied to the design automation of other mechanical components.


Author(s):  
Christian Johansson

AbstractIn the production of automotive body components, fixtures are an important part of the ongoing work on geometrical assurance. The fixture is uniquely defined for each component, and the design and configuration of these are time-consuming and takes a lot of effort. The objective with this paper is to explore the use of a design automation approach and application to semi-automate the configuration process of the fixture product. The paper presents an approach to automate the configuration of the fixtures in a flexible way, by reverse engineering the configuration of the fixture product from a generic blueprint that represents the expected outcome of the process, using a knowledge-based engineering approach applied to a computer aided design (CAD) environment. A reverse-engineered design automation toolbox for a CAD-software is developed. The toolbox is developed to lead a user through the configuration process, in the way that the experts want it done, end-to-end, making use of some unconventional solutions from a design automation perspective.


Author(s):  
W Z Zhang ◽  
R D Jiang ◽  
B T Cheok ◽  
A Y C Nee

This paper describes an innovative approach for the design automation of progressive dies. The die design is modelled as a process to design its die functions. A template concept used to realize the die structure for a die function is proposed in the paper. A user begins by defining the geometric and stamping features of a sheet metal part. The geometric and feature information is processed and stored in a knowledge-based system. After automatic unfolding and nesting operations, the stamping process is interactively staged. Thereafter, a model-based approach takes over and generates the knowledge-based description of the die. Using special semantics to describe the die topology and assembly relations, a three-dimensional solid model of the entire die assembly is generated from the die description knowledge base. This system is able to produce three-dimensional strip layout, three-dimensional die components and assembly, and annotated two-dimensional production drawings. It significantly improves stamping die design productivity and accuracy, which is achieved through the capturing and processing of die design knowledge.


2020 ◽  
Vol 1 ◽  
pp. 345-354
Author(s):  
L. P. Poot ◽  
C. Wehlin ◽  
M. Tarkian ◽  
J. Ölvander

AbstractWith industries striving towards increased customisation of complex products through engineer-to-order, methods are continuously sought to rationalise the product development process. To this end, a framework is proposed using CAD configurators, utilising design automation and knowledge-based engineering to integrate sales and design processes in product development. The application of this framework to the design of spiral staircases is described and analysed, with results showing decreased lead-times and a decreased risk for design errors.


2004 ◽  
Vol 126 (5) ◽  
pp. 775-787 ◽  
Author(s):  
Joshua D. Summers ◽  
Bernie Bettig ◽  
Jami J. Shah

A key issue in developing new intelligent computer aided design and manufacturing tools (CAD/CAM) is knowledge representation. Engineering knowledge has been represented in many forms, such as rule sets, design procedures, features, frames, and semantic networks. Some of these are domain dependent, some are query dependent, and some require specialized inferencing engines or solving algorithms, thus providing a severe limitation for exchange and re-use of design knowledge. A standard representation structure that is capable of encapsulating different types of knowledge would be a useful tool. The design exemplar provides a standard representation of mechanical engineering design problem knowledge based upon a canonically derived set of entities and relationships. The data structure of the design exemplar facilitates four basic design tasks: pattern matching, property extraction, design validation, and change propagation. This paper shows that it is possible to map the design exemplar to other representations (procedures, rules, and features). The concept of integrating atomic design exemplars into composite networks for performing complex design tasks is also introduced as a tool for developing and applying the design exemplar in engineering design automation.


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